Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs
Answering

Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering

27 April 2023

Papers citing "Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering"

8 / 8 papers shown

Title
Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning? Roman Kochnev Arash Torabi Goodarzi Zofia Antonina Bentyn D. Ignatov Radu Timofte 43 2 0 08 Apr 2025
An Overview and Discussion on Using Large Language Models for Implementation Generation of Solutions to Open-Ended Problems Hashmath Shaik Alex Doboli OffRL ELM 55 0 0 31 Dec 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,163 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention Yichong Xu Chenguang Zhu Shuohang Wang Siqi Sun Hao Cheng Xiaodong Liu Jianfeng Gao Pengcheng He Michael Zeng Xuedong Huang LRM 238 54 0 06 Dec 2021
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,791 0 17 Sep 2019